Lead Databricks Platform Engineer for AI & Analytics

Vizient, Inc.

Edina (MN)

On-site

USD 118,000 - 206,000

Full time

9 days ago

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Benefits offered by this job

Benefits plan
Incentive eligible

Job summary

Vizient, Inc. is seeking a senior engineer to lead the design, engineering, and evolution of the enterprise Databricks platform as a strategic capability for analytics, data products, machine learning, and AI across the organization.

You will develop reusable platform services, automation frameworks, and self-service capabilities that accelerate delivery while aligning with architecture standards. You will collaborate with cross-functional teams to enhance developer experience, drive platform

Qualifications

  • Advanced degree in Computer Science, Engineering, Information Systems, or related field.
  • 7+ years of relevant experience.
  • 3+ years designing and supporting Databricks platform solutions.
  • Strong experience with Azure cloud services and lakehouse architectures.
  • Experience with Terraform, IaC, and CI/CD pipelines.
  • Knowledge of Delta Lake, Unity Catalog, Apache Spark, and MLflow.

Responsibilities

  • Lead design, implementation, and evolution of the enterprise Databricks platform.
  • Develop platform services, architectures, and self-service capabilities.
  • Build IaC, CI/CD pipelines, and automation to boost scalability and reliability.
  • Enable ML and AI capabilities using MLflow, Feature Store, and Vector Search.
  • Mentor teams and promote Platform-as-a-Product principles.

Skills

Databricks platform
Azure cloud
Terraform
CI/CD
Delta Lake
Spark
MLflow
Model Registry
Feature Store
MLOps

Education

Advanced degree in Computer Science/Engineering

Tools

Terraform
CI/CD pipelines

Job description

Vizient, Inc. is seeking a senior engineer to lead the design, engineering, and evolution of the enterprise Databricks platform as a strategic capability for analytics, data products, machine learning, and AI across the organization.

You will develop reusable platform services, automation frameworks, and self-service capabilities that accelerate delivery while aligning with architecture standards. You will collaborate with cross-functional teams to enhance developer experience, drive platform

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